Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add MonumentalSystems/Atlas-Agent-Teams --skill test-automationgit clone --depth 1 https://github.com/MonumentalSystems/Atlas-Agent-TeamsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/monumentalsystems/atlas-agent-teams/test-automation)<a href="https://agentmods.dev/skills/monumentalsystems/atlas-agent-teams/test-automation"><img src="https://agentmods.dev/badge/skills/monumentalsystems/atlas-agent-teams/test-automation/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/monumentalsystems/atlas-agent-teams/test-automation"><img src="https://agentmods.dev/badge/skills/monumentalsystems/atlas-agent-teams/test-automation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00010 | $0.01070 |
| Opus 5 | $0.00005 | $0.00535 |
| Sonnet 5 | $0.00002 | $0.00214 |
| Haiku 4.5 | $0.00001 | $0.00107 |
Grade A, and why
test-automation scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Test Automation
Test Automation Strategies
Pyramid Approach
- Unit Tests (70%): Fast, isolated tests for individual functions and methods
- Integration Tests (20%): Tests that verify components work together
- End-to-End Tests (10%): Tests that simulate real user flows through the application
Risk-Based Testing
- Prioritize automation based on business risk and frequency of use
- Focus on critical paths and high-value features first
- Automate regression tests to prevent regressions
Test Data Management
- Fixtures: Pre-defined test data sets for consistent test runs
- Factories: Dynamic test data generation for flexibility
- Test Builders: Fluent APIs for creating complex test objects
- Data Seeding: Database seeding for integration and E2E tests
Test Design Patterns
Page Object Model (POM)
- Encapsulate page elements and interactions in page objects
- Separate test logic from page interaction logic
- Improve test maintainability and reusability
- Example structure:
class LoginPage { constructor(page) { this.page = page; this.usernameInput = page.locator('#username'); this.passwordInput = page.locator('#password'); this.loginButton = page.locator('#login'); } async login(username, password) { await this.usernameInput.fill(username); await this.passwordInput.fill(password); await this.loginButton.click(); } }
Screenplay Pattern
- Actor-based testing with human-like interactions
- Composable abilities and tasks
- More readable and maintainable test scenarios
- Example structure:
actor.attemptsTo( Navigate.to('/login'), Enter.theValue('username').into('#username'), Enter.theValue('password').into('#password'), Click.on('#login') );
Data-Driven Testing
- Separate test logic from test data
- Run same test with multiple data sets
- Use CSV, JSON, or database for test data
- Example structure:
const testData = [ { username: 'user1', password: 'pass1', expected: 'success' }, { username: 'user2', password: 'pass2', expected: 'success' }, { username: 'invalid', password: 'wrong', expected: 'failure' } ]; testData.forEach(({ username, password, expected }) => { test(`login with ${username}`, async ({ page }) => { await login(page, username, password); await expect(page.locator('.status')).toHaveText(expected); }); });
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 165 lines · 10 tokens per session scan A ad26c3ec412a
test-automation is a skill published in the GitHub repository MonumentalSystems/Atlas-Agent-Teams (21 stars, last pushed 1mo ago), licensed MIT. It adds 10 tokens to every session and 1,070 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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